Experience with Kubernetes internals or node-level components
Hands-on experience with low-level Linux debugging tools (e.g. perf, eBPF, ftrace, strace, kernel crash dumps)
Familiarity with large-scale compute or bare-metal platforms
Contributions to open-source infrastructure or system software
Experience debugging hardware and driver-level issues, including GPUs, NVLink, InfiniBand
Strong Linux expertise
Deep understanding of Linux user space and kernel space
Knowledge of kernel subsystems (scheduler, memory management, filesystems, cgroups, namespaces)
Clear understanding of system boundaries and constraints at different layers
Virtualization experience
Hands-on experience with QEMU/KVM
Understanding of VM lifecycle, performance characteristics and failure modes
Containerization knowledge
Practical experience with containers, namespaces and cgroups
Strong understanding of resource isolation and control
Strong debugging skills
Ability to reason about complex system failures
Structured, hypothesis-driven approach to incident analysis
SRE mindset
Clear understanding of the SRE role in system design and operations
Experience building and operating observability stacks, not just consuming them
Ability to turn system behavior into actionable reliability signals